The validity of self-rating depression scales in patients with chronic widespread pain: a Rasch analysis of the Major Depression Inventory

<p><b>Background</b>: Assessment of depression in chronic pain patients by self-rating questionnaires developed and validated for use in normal and/or psychiatric populations is common. The aim of this study was to evaluate the psychometric properties of the Major Depression Inventory (MDI) in a sample of females with chronic widespread pain (CWP).</p> <p><b>Method</b>: A total of 263 females diagnosed with CWP and referred for rehabilitation completed the MDI as part of the baseline evaluation. Rasch analysis was applied to this dataset. Rasch measurement models allow detailed analyses of an instrument’s rating scale and further aspects of validity, including fit of individual scale items to a unidimensional model indicating assessment of a single construct (depression), as a prerequisite for measurement.</p> <p><b>Results</b>: The Rasch analysis revealed substantial problems with the rating scale properties of the MDI and lack of unidimensionality. In contrast to somatic items, MDI items related to depressed mood and negative view of oneself were distributed at the higher end of the item difficulty measurement scale, indicating low endorsement of these items.</p> <p><b>Discussion</b>: From the perspective of the Rasch measurement model, the MDI demonstrated insufficient psychometric properties when used to identify and quantify severity of depression in a clinical sample of females with CWP. The observed item endorsement pattern indicated that, in this study population, the relatively high depression severity scores primarily pertained to a common core of pain-related somatic symptoms. Careful consideration when interpreting questionnaire-derived scores of depression implemented in research and routine clinical care of patients with chronic pain is warranted.</p

Phenotypic characteristics of patients with chronic widespread pain and fibromyalgia: a cross-sectional cluster analysis

This study aimed to explore whether phenotypic characteristics of patients with chronic widespread pain (CWP) and fibromyalgia (FM) can be aggregated into definable clusters that may help to tailor treatments. Baseline variables (sex, age, education, marital/employment status, pain duration, prior CWP/FM diagnosis, concomitant rheumatic disease, analgesics, tender point count, and disease variables derived from standardized questionnaires) collected from 1099 patients (93.4% females, mean age 44.6 years) with a confirmed CWP or FM diagnosis were evaluated by hierarchical cluster analysis. The number of clusters was based on coefficients in the agglomeration schedule, supported by dendrograms and silhouette plots. Simple and multiple regression analyses using all variables as independent predictors were used to assess the likelihood of cluster assignment, reported as odds ratios (ORs) with 95% confidence intervals (CIs). Only one cluster emerged (Cluster 1: 455 patients). Participants in this cluster were characterized as working (OR 66.67, 95% CI 7.14 to 500.00), with a medium-term/higher education (OR 16.80, 95% CI 1.94 to 145.41), married/cohabiting (OR 14.29, 95% CI 1.26 to 166.67), and using mild analgesics (OR 25.64, 95% CI 0.58 to > 999.99). The odds of being an individual in Cluster 1 were lower when having a worse score on the PDQ (score ≥ 18) (OR We identified one cluster, where participants were characterized by a potentially favourable clinical profile. More studies are needed to evaluate whether these characteristics could be used to guide the management of patients with CWP and FM.</p

Protocol for evaluating and implementing a pragmatic value-based healthcare management model for patients with inflammatory arthritis: a Danish population-based regional cohort and qualitative implementation study

INTRODUCTION:The provision of healthcare for patients with inflammatory arthritis occurs in the context of somewhat conflicting targets, values and drivers. Therefore, there is a need for introducing 'value-based healthcare' defined as the value of patient relevant health outcomes in relation to costs. This term is a central part of tomorrow's healthcare sector, especially for rheumatic diseases, yet the transition is a huge challenge, as it will impact the development, delivery and assessment of healthcare. AIMS:The aim of this study is to compare medical and patient evaluated impact of the traditional settlement and financing production (DAGS) controlled healthcare setting with a value-based and patient-centred adjunctive to standard care. METHODS AND ANALYSIS:Patients with inflammatory arthritis receiving treatment in routine care at the outpatient clinics in the Capital Region of Denmark will prospectively and consecutively be enrolled in a Non-Intervention-Study framework providing a pragmatic value-based management model. A Danish reference cohort, used for comparison will be collected as part of routine clinical care. The enrolment period will be from 1 June 2018 until 31December 2023. Baseline and follow-up visits will be according to routine clinical care. Registry data will be obtained directly from patients and include personal, clinical and outcomes information. The study results will be reported in accordance with the STROBE statement. ETHICS AND DISSEMINATION:The study has been notified to the Danish Data Protection Agency and granted authorisation for the period June 2018 to January 2025 (pending). Informed consent will be obtained from all patients before enrolment in the study. The study is approved by the ethics committee, Capital Region of Denmark (H-18013158). Results of the study will be disseminated through publication in international peer-reviewed journals